Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/350759
Title: Predictive analytics for cardiac arrhythmia using machine intelligence
Researcher: Merjulah, R
Guide(s): J, Chandra
Keywords: Classification,
Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
Feature Extraction,
Feature Selection,
Myocardial Infarction,
Prediction,
Preprocessing,
Segmentation,
University: CHRIST University
Completed Date: 2020
Abstract: Myocardial Infarction (MI) is the primary cause of death worldwide. MI occurs when a plaque buildup in the inner surface of the coronary artery suddenly ruptures and prevents the blood flow. A heart attack is medically termed as MI. It is the irreversible damage caused by the prolonged ischemia. Ischemia is nothing but the heart organ doesn t get enough blood and oxygen which is also termed as coronary artery disease or coronary heart disease. The heart gets damaged if it has not received enough blood or oxygen. In connection to the damage of the heart, arrhythmia would occur. Arrhythmia is the problem based on the heart rhythm or rate of the heartbeat. Tachycardia, when there is a fast beat in the heart. Bradycardia, when the heart beats too slow. The common type of arrhythmia is atrial fibrillation. The great concern is that the patient who has arrhythmia has to be treated immediately. They lose consciousness in a few minutes when the heart is not pumping enough blood mainly to the brain. Death occurs when the patient is not given emergency treatment. newline Treatment which is included in the emergency is defibrillation and Cardiopulmonary Resuscitation (CPR). CPR is an emergency procedure which is combined with the chest compressions. It is through artificial ventilation which gives manual effort, preserves the brain functions until further treatment for the restoration of spontaneous blood circulation. The common symptoms of sudden cardiac death are chest pain, shortness of breath, severe wheezing, irregular heartbeats, fainting etc. newlineHeart Scar tissue which is not like heart muscle. It doesn t contrast like the normal heart muscle. Heart muscles get damaged for the heart attack patient based on the time of the treatment. The damage of the heart is based on the blockage of the artery. Arrhythmia can be predicted based on the volume of the scar region in the heart. Arrhythmia patients are treated by fixing Implantable Cardioverter Defibrillator (ICD).
Pagination: xvii, 139p.;
URI: http://hdl.handle.net/10603/350759
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File175.16 kBAdobe PDFView/Open
02_declaration.pdf284.76 kBAdobe PDFView/Open
03_certificate.pdf652.48 kBAdobe PDFView/Open
04_acknowledgement.pdf190.29 kBAdobe PDFView/Open
05_abstract.pdf289.27 kBAdobe PDFView/Open
06_table_of_contents.pdf301.12 kBAdobe PDFView/Open
07_list_of_tables.pdf280.85 kBAdobe PDFView/Open
08_list_of_figures.pdf188.45 kBAdobe PDFView/Open
09_list_of_abbreviations.pdf182.07 kBAdobe PDFView/Open
10_chapter1.pdf565.33 kBAdobe PDFView/Open
11_chapter2.pdf774.19 kBAdobe PDFView/Open
12_chapter3.pdf695.58 kBAdobe PDFView/Open
13_chapter4.pdf1.88 MBAdobe PDFView/Open
14_chapter5.pdf542.57 kBAdobe PDFView/Open
15_chapter6.pdf834.91 kBAdobe PDFView/Open
16_chapter7.pdf418.76 kBAdobe PDFView/Open
17_bibliography.pdf504.31 kBAdobe PDFView/Open
18_list_of_publications.pdf93.73 kBAdobe PDFView/Open
19_appendices.pdf142.06 kBAdobe PDFView/Open
80_recommendation.pdf586.98 kBAdobe PDFView/Open
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